code-review-quality
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추천npx skills add proffesor-for-testing/agentic-qe/plugin add https://github.com/proffesor-for-testing/agentic-qegit clone https://github.com/proffesor-for-testing/agentic-qe.git ~/.claude/skills/code-review-qualityClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
Code Review Quality
<default_to_action> When reviewing code or establishing review practices:
- PRIORITIZE feedback: 🔴 Blocker (must fix) → 🟡 Major → 🟢 Minor → 💡 Suggestion
- FOCUS on: Bugs, security, testability, maintainability (not style preferences)
- ASK questions over commands: "Have you considered...?" > "Change this to..."
- PROVIDE context: Why this matters, not just what to change
- LIMIT scope: Review < 400 lines at a time for effectiveness
Quick Review Checklist:
- Logic: Does it work correctly? Edge cases handled?
- Security: Input validation? Auth checks? Injection risks?
- Testability: Can this be tested? Is it tested?
- Maintainability: Clear naming? Single responsibility? DRY?
- Performance: O(n²) loops? N+1 queries? Memory leaks?
Critical Success Factors:
- Review the code, not the person
- Catching bugs > nitpicking style
- Fast feedback (< 24h) > thorough feedback </default_to_action>
Quick Reference Card
When to Use
- PR code reviews
- Pair programming feedback
- Establishing team review standards
- Mentoring developers
Feedback Priority Levels
| Level | Icon | Meaning | Action |
|---|---|---|---|
| Blocker | 🔴 | Bug/security/crash | Must fix before merge |
| Major | 🟡 | Logic issue/test gap | Should fix before merge |
| Minor | 🟢 | Style/naming | Nice to fix |
| Suggestion | 💡 | Alternative approach | Consider for future |
Review Scope Limits
| Lines Changed | Recommendation |
|---|---|
| < 200 | Single review session |
| 200-400 | Review in chunks |
| > 400 | Request PR split |
What to Focus On
| ✅ Review | ❌ Skip |
|---|---|
| Logic correctness | Formatting (use linter) |
| Security risks | Naming preferences |
| Test coverage | Architecture debates |
| Performance issues | Style opinions |
| Error handling | Trivial changes |
Feedback Templates
Blocker (Must Fix)
🔴 **BLOCKER: SQL Injection Risk**
This query is vulnerable to SQL injection:
```javascript
db.query(`SELECT * FROM users WHERE id = ${userId}`)
Fix: Use parameterized queries:
db.query('SELECT * FROM users WHERE id = ?', [userId])
Why: User input directly in SQL allows attackers to execute arbitrary queries.
### Major (Should Fix)
```markdown
🟡 **MAJOR: Missing Error Handling**
What happens if `fetchUser()` throws? The error bubbles up unhandled.
**Suggestion:** Add try/catch with appropriate error response:
```javascript
try {
const user = await fetchUser(id);
return user;
} catch (error) {
logger.error('Failed to fetch user', { id, error });
throw new NotFoundError('User not found');
}
### Minor (Nice to Fix)
```markdown
🟢 **minor:** Variable name could be clearer
`d` doesn't convey meaning. Consider `daysSinceLastLogin`.
Suggestion (Consider)
💡 **suggestion:** Consider extracting this to a helper
This validation logic appears in 3 places. A `validateEmail()` helper would reduce duplication. Not blocking, but might be worth a follow-up PR.
Review Questions to Ask
Logic
- What happens when X is null/empty/negative?
- Is there a race condition here?
- What if the API call fails?
Security
- Is user input validated/sanitized?
- Are auth checks in place?
- Any secrets or PII exposed?
Testability
- How would you test this?
- Are dependencies injectable?
- Is there a test for the happy path? Edge cases?
Maintainability
- Will the next developer understand this?
- Is this doing too many things?
- Is there duplication we could reduce?
Minimum Findings Enforcement
Reviews must meet a minimum weighted finding score of 3.0 (CRITICAL=3, HIGH=2, MEDIUM=1, LOW=0.5, INFORMATIONAL=0.25). If the initial review falls short, run the qe-devils-advocate agent as a meta-reviewer to find additional observations. Every review should have at least 3 actionable observations.
Agent-Assisted Reviews
// Comprehensive code review
await Task("Code Review", {
prNumber: 123,
checks: ['security', 'performance', 'testability', 'maintainability'],
feedbackLevels: ['blocker', 'major', 'minor'],
autoApprove: { maxBlockers: 0, maxMajor: 2 }
}, "qe-quality-analyzer");
// Security-focused review
await Task("Security Review", {
prFiles: changedFiles,
scanTypes: ['injection', 'auth', 'secrets', 'dependencies']
}, "qe-security-scanner");
// Test coverage review
await Task("Coverage Review", {
prNumber: 123,
requireNewTests: true,
minCoverageDelta: 0
}, "qe-coverage-analyzer");
Agent Coordination Hints
Memory Namespace
aqe/code-review/
├── review-history/* - Past review decisions
├── patterns/* - Common issues by team/repo
├── feedback-templates/* - Reusable feedback
└── metrics/* - Review turnaround time
Fleet Coordination
const reviewFleet = await FleetManager.coordinate({
strategy: 'code-review',
agents: [
'qe-quality-analyzer', // Logic, maintainability
'qe-security-scanner', // Security risks
'qe-performance-tester', // Performance issues
'qe-coverage-analyzer' // Test coverage
],
topology: 'parallel'
});
Review Etiquette
| ✅ Do | ❌ Don't |
|---|---|
| "Have you considered...?" | "This is wrong" |
| Explain why it matters | Just say "fix this" |
| Acknowledge good code | Only point out negatives |
| Suggest, don't demand | Be condescending |
| Review < 400 lines | Review 2000 lines at once |
Related Skills
- agentic-quality-engineering - Agent coordination
- security-testing - Security review depth
- refactoring-patterns - Maintainability patterns
Remember
Prioritize feedback: 🔴 Blocker → 🟡 Major → 🟢 Minor → 💡 Suggestion. Focus on bugs and security, not style. Ask questions, don't command. Review < 400 lines at a time. Fast feedback (< 24h) beats thorough feedback.
With Agents: Agents automate security, performance, and coverage checks, freeing human reviewers to focus on logic and design. Use agents for consistent, fast initial review.
Skill Composition
- Security concerns → Compose with
/security-testingfor security-focused review - Coverage check → Run
/qe-coverage-analysison changed files - Ship decision → Feed review results into
/qe-quality-assessment
Gotchas
- Agent reviews >400 lines at once and misses issues — chunk reviews to 200-400 lines maximum
- Nitpicking style while missing logic bugs is the #1 agent review failure — prioritize correctness over formatting
- Agent approves code that compiles but has subtle race conditions — always check shared state and async patterns
- Review comments without suggested fixes are unhelpful — always include a proposed alternative
- Agent doesn't check if the PR actually solves the linked issue — verify the stated problem is actually fixed
GitHub 저장소
연관 스킬
Verification & Quality Assurance
기타This skill provides automated quality verification for code and agent outputs using truth scoring and quality checks. It automatically rolls back changes that fall below a 0.95 accuracy threshold, ensuring codebase reliability. Use it for CI/CD integration and maintaining high-quality standards in development workflows.
Verification & Quality Assurance
기타This skill provides automated verification and quality assurance for code and agent outputs, including truth scoring and validation checks. It enables automatic rollback for failed quality checks and integrates with CI/CD pipelines. Use it to validate code changes before merging or to ensure the correctness of generated outputs.
testability-scoring
기타This skill provides AI-powered testability assessment for web applications using Playwright and optional Vibium integration. It evaluates applications against 10 intrinsic testability principles like Observability and Controllability to identify improvement areas. Use it when assessing software testability, evaluating test readiness, or generating testability reports.
refactoring-patterns
기타This Claude Skill applies safe refactoring patterns to improve code structure while preserving existing behavior. It's designed for cleaning up code, reducing technical debt, and enhancing maintainability through a disciplined test-first approach. The skill emphasizes small, incremental changes with continuous testing to ensure reliability during code transformations.
